Optical Flow Method
Calculate optical flow from images by providing two pictures (supports .jpg, .bmp, .bif formats) to identify moving objects and their motion patterns.
Motion Estimation in Images Using Optical Flow Method
Estimating Image Motion with Optical Flow Method: Pixel-Based Algorithm Implementation
Infrared Moving Target Detection Program: Four MATLAB Implementation Approaches
This MATLAB-based program implements four core algorithms for infrared target detection: frame differencing, background subtraction, optical flow method, and Gaussian Mixture Model (GMM). The code is well-structured with clear comments, making it ideal for beginners to study motion detection techniques in infrared imagery. Each method includes practical implementation details and parameter explanations.
Computational Methods for Image Optical Flow with Fuzzy Logic Controller Implementation
Implementation of a Fuzzy Logic Controller for Maximum Power Point Tracking in Solar Power Systems
Video Image Segmentation Using Optical Flow Method
This implementation utilizes the Lucas-Kanade algorithm for motion estimation, developed in MATLAB. The choice of MATLAB was strategic since it provides built-in matrix operation functions, eliminating the need for custom implementation and significantly reducing development time while preserving core algorithmic concepts.
Optical Flow Method for Object Tracking and Segmentation
Optical flow method implementation for object tracking and image segmentation applications
A Motion Target Detection Algorithm
Comparative Analysis of Motion Detection Algorithms for Video Processing